ORIE 4740

Last Updated

  • Schedule of Classes - February 12, 2019 8:29PM EST
  • Course Catalog - January 26, 2019 2:00PM EST

ORIE 4740
Statistical Data Mining I

Course information provided by the 2018-2019 Catalog.

Examines the statistical aspects of data mining, the effective analysis of large datasets. Covers the process of building and interpreting various statistical models appropriate to such problems arising in scientific and business applications. Topics include naïve Bayes, graphical models, multiple regression, logistic regression, clustering methods and principal component analysis. Assignments are done using one or more statistical computing packages.


Prerequisites/Corequisites Prerequisite: ORIE 3500 and MATH 2940 or equivalent; programming experience. Exposure to multiple linear regression and logistic regression strongly recommended.

When Offered Fall.

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Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Graded

  • 17612 ORIE 4740   LEC 001

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  • Instruction Mode: In Person

  • 17613 ORIE 4740   DIS 201

  •  

  • Instruction Mode: In Person

  • 17614 ORIE 4740   DIS 202

  •  

  • Instruction Mode: In Person

  • 17615 ORIE 4740   DIS 203

  •  

  • Instruction Mode: In Person

  • 17616 ORIE 4740   DIS 204

  •  

  • Instruction Mode: In Person